Against the backdrop of the in-depth implementation of China's "Dual Carbon" strategy and the accelerated construction of new power systems, the installed capacity of new energy—represented by centralized onshore/offshore wind/PV, distributed wind/PV, and large-scale integrated bases in "sandy, gobi, and desert" regions as well as deep-sea areas—has continued to grow rapidly. By the end of 2025, the cumulative installed capacity of new energy, represented by PV and wind power, has exceeded 1.84 billion kW, accounting for 47.3% of the national total power capacity. This has historically surpassed thermal power (1.539 billion kW), establishing new energy as a core pillar of green energy transition.

However, the output of various new energy sources is highly dependent on local meteorological conditions. Their strong randomness and volatility, coupled with the trend of extreme weather events being "frequent, recurrent, intense, and concurrent," pose multi-level challenges to the safe operation, flexible regulation, and resilience enhancement of systems ranging from distribution networks to main grids, and even transmission systems for large bases.

Meanwhile, the Guiding Opinions on Promoting the Construction of Energy Meteorology Service System (Qi Fa [2026] No. 3), jointly issued by the China Meteorological Administration and the National Energy Administration, explicitly proposes building an energy meteorology service system covering multiple scenarios including centralized, distributed, and large-scale bases. It emphasizes strengthening three-dimensional monitoring and intelligent forecasting from station to regional scales, exploring source-grid-load-storage weather response and collaborative dispatching strategies for virtual power plants, station clusters, and integrated bases, and promoting the deep application of meteorological information throughout the entire chain of energy planning, construction, operation, and trading.

In this context, meteorological factors have transformed from external environmental variables into core internal elements affecting the stable and efficient operation of all links (generation, grid, load, storage) in new power systems. There is an urgent need to build a deeply integrated power-meteorology technology system covering multiple application scenarios.

To systematically address these challenges and deepen interdisciplinary innovation between energy and meteorology, the journal Distributed Energy, in collaboration with the Energy Meteorology Committee of the China Meteorological Society, has invited the following experts as Guest Editors to organize the special issue titled "Key Technologies for Energy-Meteorology Collaboration in Multi-Scenario New Power Systems":

SHEN Yanbo, Chief Scientist, Public Meteorological Service Center, CMA

XIAO Ziniu, Researcher, Institute of Atmospheric Physics, CAS

CHEN Zhenghong, Distinguished Expert, Hubei Meteorological Service Center

LU Zongxiang, Professor, Tsinghua University

HAN Shuang, Professor, North China Electric Power University

MA Xueyun, Professor-level Senior Engineer, China Datang Corporation Science & Technology Research Institute

This special issue aims to focus on key issues such as enhanced meteorological sensitivity and climate risk transmission covering centralized, distributed, and large-scale base scenarios under high-proportion new energy penetration. We solicit original contributions regarding mechanism cognition, model construction, technology development, and engineering practice, to promote feasible and scalable power-meteorology collaborative solutions, providing theoretical support and technical paths for enhancing the adaptability and resilience of new power systems against meteorological disturbances.

1. Topics of Interest

Topics include but are not limited to:

1. Refined resource assessment and full life-cycle meteorological risk analysis for new energy in multi-scenarios (onshore/offshore centralized, distributed, and integrated bases in "sandy, gobi, and desert" regions and deep seas).

2. Short-term/ultra-short-term and probabilistic forecasting methods for new energy output considering micro-to-meso-scale meteorological characteristics.

3. Impact mechanisms and risk assessment of extreme weather (typhoons, high temperatures, cold waves, heavy precipitation, sandstorms, thunderstorms, etc.) on distributed equipment, centralized stations, power grid equipment, and transmission channels.

4. Distribution network flexible regulation, virtual power plant collaborative optimization, and large-base cluster dispatching strategies driven by meteorology.

5. Multi-scale power-meteorology coupling modeling and digital twin technology for generation-grid-load-storage interaction.

6. AI-based collaborative optimization models for multi-scenario meteorological forecasting, power prediction, and market trading.

7. Customized meteorological service models and demonstration applications for multi-type energy projects in typical regions such as "sandy, gobi, and desert" areas, deep seas, coastal areas, and cities.

8. Long-term new energy development planning, project siting, and climate-adaptive layout research under the background of climate change.

9. Energy meteorology data fusion, sharing mechanisms, and construction of high-quality training datasets.

10. Meteorological disaster warning, power system emergency response, and rapid restoration collaborative technologies in multi-energy scenarios.

We invite innovative research results on related topics. We also sincerely invite original research, engineering practices, and review papers from various industry units on the above common technical directions to jointly promote the deep integration of energy meteorology in wide-area scenarios and assist in building a safe, efficient, and resilient new power system.

2. Submission Requirements

1. Submitted papers should have clear arguments, highlighted key points, and clear logic, possessing innovation, advancement, and practicality.

2. Please prepare manuscripts according to the Distributed Energy Paper Submission Template (Download from journal website: der.tsinghuajournals.com). Technical papers (including theoretical research, numerical simulation, experimental research, etc.) are recommended to be no more than 8,000 words (including figures and tables); review papers are recommended to be around 10,000 words, requiring systematic combing and in-depth commentary.

3. Upon acceptance after peer review, a formal acceptance notice will be issued, and excellent papers will be published online first; all manuscripts will be uniformly published in the Distributed Energy regular journal special issue.

4. Authors must be responsible for the authenticity and objectivity of the paper content, which must not involve state or unit secrets.

5. Only original manuscripts that have not been publicly published are accepted; duplicate submissions are strictly prohibited.

3. Deadline

Submission Deadline: November 30, 2026

4. Submission Method

Please log in to the official website of Distributed Energy: der.tsinghuajournals.com, register an author account, and submit the manuscript through the online submission system. Please indicate "Submission for Special Issue on Key Technologies for Energy-Meteorology Collaboration in Multi-Scenario New Power Systems" when submitting.

We look forward to your active participation and support!

5. Contact Information

Special Issue Academic Liaison Project Team: MA Xueyun

Email: maxueyun@cdt-kxjs.com

Distributed Energy Editorial Office: GU Zi

Email: guzi@cdt-kxjs.com

Tel: 010-80732247